A Review on the Challenges of Artificial Intelligence in HealthCare Systems in Rural Areas

Authors

  • Adedeji Olugboja Eswatini Medical Christian University

DOI:

https://doi.org/10.14738/aivp.116.15309

Keywords:

Healthcare, Artificial Intelligence, Rural, Challenges, Technology

Abstract

This paper examines the challenges of implementing AI technology in rural healthcare systems. Despite the potential benefits of AI, rural healthcare systems face significant obstacles, including limited access to technology, a lack of resources, and a shortage of trained personnel. The essay argues that addressing these challenges is critical to ensure that rural communities have access to high-quality healthcare services. The solutions suggested include government funding, education and training programs, and partnerships with technology companies. By adopting these solutions, rural healthcare systems can harness the potential benefits of AI technology and improve patient outcomes. This paper concludes by suggesting directions for future research, including investigating additional solutions for overcoming the challenges of AI implementation in rural healthcare systems and exploring the long-term impact of AI technology on patient outcomes in rural areas.

References

Bates, D. W., Landman, A. B., Levine, D. M., & Health, A. (2021). Challenges in using artificial intelligence in healthcare delivery. Academic Medicine, 96(6), 776-780.

Wright, A., Hickman, T. T., McEvoy, D., Moldwin, Z., Morley, M., Morgan, A. M., ... & Laderas, T. (2021). Challenges in using artificial intelligence to improve healthcare. Nature Medicine, 27(1), 36-38.

Hannun, A. Y., Rajpurkar, P., Haghpanahi, M., Tison, G. H., Bourn, C., Turakhia, M. P., & Ng, A. Y. (2019). Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nature Medicine, 25(1), 65-69.

Obermeyer, Z., Emanuel, E. J., & Verghese, A. (2019). Predicting the future-big data, machine learning, and clinical medicine. New England Journal of Medicine, 375(13), 1216-1219.

Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56.

Gamble, B., Serrano, K. J., Bernstam, E. V., & Atlas, S. W. (2020). Differences in the use of artificial intelligence between rural and urban healthcare providers. Journal of the American Medical Informatics Association, 27(7), 1081-1086.

Rogers, E., Lee, J., Duffy, J., Lee, T. H., & Wasserman, M. (2018). Challenges facing the rural health care workforce: an impending crisis. American Journal of Medical Quality, 33(6), 677-680.

Aoki, T., Fukuda, H., Takanashi, S., & Ishihara, M. (2019). Deep learning-based echocardiographic analysis for screening of asymptomatic left ventricular dysfunction. Journal of the American Heart Association, 8(7), e010842. doi: 10.1161/JAHA.118.010842

Gamble, M. V., Gustafson, D. L., McTavish, F. M., Poltawski, L., Williams, J., & Mahoney, J. E. (2020). Rural health clinics: Opportunities and challenges for telehealth implementation. Journal of Rural Health, 36(1), 166-175. doi: 10.1111/jrh.12368

Manchaiah, V., Bellon-Harn, M. L., Lewis, K., & Beukes, E. (2019). Use of a virtual assistant to improve hearing aid use in rural areas: A feasibility study. International Journal of Audiology, 58(9), 551-556. doi: 10.1080/14992027.2019.1607192

Rogers, E. S., Smelson, D. A., Gillespie, C. C., Elbel, B., Poole, S., Hagedorn, H. J., & Kalman, D. (2018). The challenges of providing behavioral health services to rural areas. The Journal of Rural Health, 34(s1), s1-s9. doi: 10.1111/jrh.12293

Olugboja, A. (2023). A Review on the Challenges of Artificial Intelligence in HealthCare Systems in Rural Areas. European Journal of Applied Sciences,

Wong, Y. M., Tam, W. W. S., Huang, H. L., Lai, C. K. Y., Chan, E. W., & Wong, E. L. Y. (2020). The impact of machine learning on patient outcomes in heart failure: A systematic review. BMC Medical Informatics and Decision Making, 20(1), 58. doi: 10.1186/s12911-020-1074-6

Hatcher J, Wyatt JC, Silvester SA, Harris J. (2019). The challenges of implementing artificial intelligence in rural primary care. J Med Syst. Jul 22;43(9):290.

Mohan A, Nair R, Pillai R, Sukumaran S, Suresh S, Radhakrishnan R. (2020). The Challenges and Potential Solutions of Implementing Artificial Intelligence in Rural Health Care. Healthc Inform Res. 26(4):241-247. National Rural Health Association. AI in Rural Health Care: Challenges and Opportunities. Available at: https://www.ruralhealthweb.org/getattachment/Resources/Rural-Health-Works/AI-in-Rural-Health-Care-Challenges-and-Opportuniti/AI-in-Rural-Health-Care-Challenges-and-Opportunities.pdf.aspx

Jha D, Singh S, Verma AK, Jha RK. (2021). Implementation of Artificial Intelligence in Rural Healthcare: A Systematic Review. SN Comput Sci. 2:100.

Nair M, Ali R, Palaniswami M. (2020). Artificial intelligence for rural and remote health: a scoping review. J Med Syst. 18;44(11):183.

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Published

2023-12-17

How to Cite

Olugboja, A. (2023). A Review on the Challenges of Artificial Intelligence in HealthCare Systems in Rural Areas. European Journal of Applied Sciences, 11(6), 128–133. https://doi.org/10.14738/aivp.116.15309